Starting with this post, I am going to share a weekly series of ‘3 top tips’ for maximising the value of each of the different technical teams within a Customer Insight department; starting with the research team.
None of what I’m about to share is rocket science and is probably only a reminder of what you knew already. However, these updates will comprise lessons learnt, normally from getting it wrong first, and so are practical advice “from the trenches”. Given recent content has focussed on data or analytics, I will start with some advice for leaders to maximise the value of their in-house research team. (more…)
Instead, your votes have identified 7 equally likely barriers. Perhaps it really is, as Proverbs puts it, “the little foxes who spoil the vineyard”.
They say a problem shared is a problem halved, so hopefully it helps you to understand the barriers that other leaders are facing. In this post I’ll also share some initial thoughts on interventions that may help you overcome them. (more…)
The sub-title of this book is “Can you learn to be happy?” and this question is explored through a series of short chapters summarising the most popular course at Harvard today.
This might seem a strange topic for this blog, but my coaching work with customer insight leaders has taught me the power of Positive Psychology. It is also a short (168 pages) book, fun and very accessible; so a good compliment to some of the weightier tomes that I’ve reviewed here.
For those not familiar with the Positive Psychology movement, it was properly launched by Martin Seligman when after a distinguished career as a psychologist, he used his opening address when becoming president of the American Psychological Association to propose that instead of just focussing on mental illness or helping clients address weaknesses, it could focus on ways of fostering joy/happiness/flow/strengths etc in individuals. In other words to help clients focus on their positive strengths and how to be happier rather than seeking to use models etc to address weaknesses or unhelpful thinking patterns. Prof Seligman has dedicated his subsequent career to this goal. This topic has also of course become popular with politicians on both sides of the “pond” and I’m sure you’ve heard of their work on measuring wellbeing in society.
Anyway, this book by Dr. Tal Ben-Shahar, who teaches a course at Harvard University on Happiness, is more of an accessible self-help book. It’s packed with personal anecdotes, simply communicated psychology and practical exercises for you to put into practice. Divided into three parts, these cover: What is Happiness? Happiness Applied and Meditations on Happiness. These are further broken down into 15 chapters, so many are less than 10 pages and an ideal short-read. Within each chapter you’ll find at least one “time-in”, a moment for you to stop and reflect on how you’d answer a personal question. At the end of every chapter is an exercise for you to try. A number of these are suggestions of new rituals to put into place over weeks or months, not just quick fixes.
Personal favourites for me, from the exercises have been:
1) A gratitude journal: noting down, before you go to sleep, at least 5 things that made you happy that day and for which you are grateful.
2) Reflecting on your four quadrants of Rat Racer, Hedonist, Nihilist & Happy – to learn from past experiences about what really makes you happy.
3) Mapping your life: measuring how you spend your time & how this matches those things which give you most meaning & pleasure.
4) Goal setting: to set long & short term goals to move toward what you really want to do with your life.
I’m conscious that without reading the book, a lot of this could sound like just American positivity, with fake smiles & over enthusiastic language. However, there really is so much more to it than that. Tal does a great job in helping the reader understand the combination of meaning and pleasure that can help you be happier & the joy to be found in the journey rather than assuming happiness is a fixed state at which you arrive. As well as this, his personal anecdotes and the amount of time given to personal reflection and practical exercises continue to keep the theory grounded in the practical day to day reality of your life. It would probably also help if I declared that I was initially very skeptical of this movement and a book with such a title. Overly positive people who appear to be in denial about their circumstances and full range of emotions don’t do it for a natural sceptic like me. However, as I’ve had my eyes opened to the academically grounded theory here, I have found it very useful in my own life and with clients. My time mentoring future leaders over years had already taught me that you make more progress helping people play to their strengths rather than improve their weaknesses.
In the second part of the book, Tal addresses how to apply the theories of part one to education, the workplace and personal relationships. The workplace chapter focuses a number of pages on how individuals can find their “calling”, as Marshall Goldsmith would say their “flow”, that conjunction of meaning, pleasure & strength/capability that make for the most fulfilling work. It is also pragmatic about crafting your existing role and work rather than assuming everyone takes this discover as a Damascene conversion experience and rushes off to a new career. The personal relationships chapter is also a good reminder about expressing love, knowing the other person and expressing gratitude.
The final part of this short book contains a series of seven shorter chapters or meditations on different aspects of happiness, from self interest to beyond the “happiness revolution”. The conclusion to this work ends on a useful y practical note, focussing us back on the here & now, thus what we are going to put into practice today. Overall the book does well at avoiding false expectations but also helping readers try different ways of thinking and new practices in their life which could make them intentionally happier.
During much of my coaching work with customer insight leaders, we come back to the source of motivation for that individual and the meaning + pleasure which keep them motivated to lead effectively and consistently over the long term. So, I would encourage any leaders to not be put off by what sounds like a fluffy title and try engaging with this short book. It may just reignite your passion & motivation to make a real difference through work that makes you happy.
Whilst debating the relative merits of different metrics, I’ve been reminded of the importance of a culture of action within teams.
That debate was sparked by my recent post, encouraging those implementing Customer Effort Score programmes to learn the lessons of what happened with NPS (i.e. don’t waste time arguing over metrics). Ironically this then prompted comments debating the relative merits of NPS, CES or CSat as metrics.
But it’s always good to get comments and debate going, so I’ve enjoyed the ensuing conversation here and on Customer Think blog. Whilst debating there, on the relative importance of metrics versus action, I’ve been reminded of the importance of creating a customer insight team culture which drives action.
Over a decade of creating and leading insight teams has taught me that two aspects of team culture are critical for customer insight teams to make a real difference to the wider business.
One is collaboration between the different technical discipline (to deliver holistic customer insights), the other is action-orientation, galvanizing the team behind a vision of driving change in the real world. This goes beyond delivery of technical analysis or Powerpoint, to focus on the decision & action needed to deliver commercial results and improved experiences as judged by your customers. (more…)
For a previous poll, in answer to the question “which support service would you choose?”, your most popular choice was training for customer insight teams. The joint next choices were, a capability health check, or bespoke consultancy. This is coupled with 88% of you confirming that in an “ideal world” you would seek external help.
Since May, I’ve spoken at five different customer insight related conferences, and the questions asked during these events have supported this view, that recruitment and training of customer insight analysts are top concerns. No wonder that Laughlin Consultancy, like others has developed training material to educate new analysts and those who have technical skills but no background in customer insight. I’m sure that will be a growing market as the search for analytics talent draws from a wider diversity of backgrounds.
Now, to digger deeper as to the needs of customer insight leaders and their teams, let’s focus on one of the problems they face. From talking to many different leaders over the years, at some point in the conversation most will express a challenge or barrier they face; in either driving real value from insight or realising the full value potential of their team’s work.
So, please let us know which of the choices below you would identify as the biggest barrier to realising the full value potential from your customer insight capability. This is an anonymous survey, so please share the biggest barrier you face…
Once this poll has significant results, I’ll share ideas and experience relevant to the top challenges you are facing (as well as the results). Thanks.
To compliment our recent emphasis on analytics, here are a number of data related articles from other bloggers to share with you. First, in an article published within Autumn 2014 edition of DataIQ Magazine, I caution the new cohort of more senior Customer Insight Leaders to not overlook their data teams. I would recommend anyone in this role read: “Don’t turn your data team into Cinderella“.
To introduce “How can you influence at the Top Table”, I mentioned the growing number of Customer Insight Directors or Chief Knowledge Officers now emerging as C-Suite level roles in blue chip companies. We have also shared six tips for those with the new role of Chief Analytics Officer (or as some companies prefer Chief Customer Science Officer). To compliment that content, here is an interesting perspective from IBM, introducing the Chief Data Officer role. CDOs may have a less glamorous job in many organisations, but they are no less vital to the success of Customer Insight capabilities:
The topic of data sharing and open disclosure with customers or citizens has been in and out of the news in recent years. Two communications on this topic struck me recently. The first is Tim Davies’ overview of the changes being proposed for government to register its data sharing arrangements. In light of the coming General Data Protection Regulation from the EU, this is an interesting approach which businesses would do well to watch:
On a more personal note, I had the unusual experience of being impressed by an email on how a business will use my personal data, or a privacy notice. Communications on this topic are normally so dry that they appear to be using boredom as a means of avoiding customers engaging and understanding impact. However, a noble exception recently was this email which I received from LinkedIn. Both the language used and the ethos of the approach were refreshing, perhaps other businesses could learn from this approach:
I hope all that data-related content helps redress the balance. It must be time for research again soon! In the meantime, do let us have your comments on these or any related data topics that matter to you.
This conference was well attended and lived up to it’s billing of attracting insurers, consultants and suppliers from across Europe. With approximately 200 attendees and representation from over 14 different countries, it was a lively and interesting event with strong audience participation.
Six key themes emerged consistently during the day:
a) try, try & try again;
b) fail fast & fail cheaply;
c) data is an asset, manage it as such;
d) insight is more than just data or analytics;
e) cross-functional collaboration is needed;
f) measure your marketing effectiveness.
To kick us off there was a panel of speakers from leading insurers (Swiss Re, Towergate and Cooperative). Each shared how they had developed their analytics capability and seen value as a result. Some were more positive about the potential of “big data” than others, but once again the most applicable examples were using wider sources of internal data rather than social media or other unstructured external data. There were also a couple of examples throughout the day of analytics centres of excellence being created, although the best organisational fit varied. Some still saw analytics as part of IT, whilst others had established this CoE within Marketing, Actuarial or Underwriting functions. None of the organisations presenting had yet implemented a directorate of customer insight, as pioneered by some of the C-Suite customer insight leaders in the most progressive firms. However, there was good practical advice on there need for test & learn, local business understanding guiding deployment of models not IT and the relative benefits of in-housing or outsourcing your analytics capability (a question which recurred during the day).
Following this, we all had the pleasure of hearing a great presentation from MoneySuperMarket.com. Without spoiling the surprise for anyone who has not heard Orlando before, it concerned the experience Norm Larsen as a persistent inventor. Through the story of his persistence, to create a product needed for early space flight, we focussed on the cultural challenge of achieving great analytics (“it takes more than rocket science to launch a rocket”). This presentation is well worth hearing if you get the chance and landed the points (excuse the pun) of both “try, try & try again” when testing & learning with analytics, as well as “fail fast & fail cheaply” which is very relevant for those establishing innovative analytics or database marketing teams.
Several times during the day there was plenty of time for audience Q&A and I’m glad to say that at this event there was active participation. The kinds of topics the audience were raising included creating business cases for investment in an analytics team, the need for attitudinal understanding alongside behavioural analytics,how to achieve “top table” buy-in and the recruitment challenge faced by many organisations. In fact, although people accepted that graduate recruitment and talent development might be an ideal solution, the need for short term results drove the interest in outsourcing. I warned against this unless very effective knowledge transfer is implemented, consistency of personnel and planning in the time taken to become familiar with business domain and your own data. Much of my concern is of course fuelled by my past experience of outsourcing and offshoring analytics.
The focus then moved on to the use of analytics to enable more intelligent pricing. In a session that was well chaired by Celent, we heard from BGL Group, Storebrand and 1st Central Insurance. Some great geeky fun here for the more numerate. We even got an equation on a slide. Applications included credibility modelling, dynamic price optimisation and management of your street price. Given my past experience of customer insight having a key role to play in ensuring senior leadership understand the customer impact of pricing changes, I was particularly taken by comments from both BGL & 1st Central Insurance. The latter has apparently seen from analysis what I’ve experienced in the past, that unfettered optimisation will punish your most loyal/dependent customers and have decided to take an ethical stance of renewal premium rates being in line with new business. This is a huge commercial challenge for large insurers, with large back books, but given growing customer and press disquiet with the pricing differential that can emerge over years, it needs addressing. I was glad to hear other organisations using customer insight to bring to life the characteristics of customers impacted most by statistically optimal pricing.
I was also struck during the day by the level of academic background in a number of the speakers. Beyond the hype of the data scientist role, there does appear to be a real growth in analytics and customer insight (or customer science) leaders having PhDs or coming from backgrounds in academia. This certainly has benefits in the level of statistical understanding expressed by a number of speakers and it was good to benefit from some of their teaching. However, I believe there is also an inherent risk as well. A risk that predictive analytics become more theoretical and focussed on optimal techniques and thus more removed from real world customers and effectively using analytics with research and the learning of front-line colleagues in customer services etc.
Given that concern, it was reassuring in the afternoon to focus on customer analytics. I shared the stage with Christina from AIG and Marion from If Insurance (Norway). The audience appeared to respond well to my presentation and I will soon share my slides via SlideShare for those who are interested. Christina and Marion also did a good job of highlighting the range of application areas for customer analytics, including media mix effectiveness measurement and optimising your multi-channel database marketing through test and learn. The questions we received in a follow-on panel session again revealed an audience with concerns about recruiting, outsourcing and marketing effectiveness measurement.
So, another useful event to attend, and one that will hopefully help me further shape the content on this blog to address the questions/concerns of today’s customer insight leaders. If you attended this event then please share your comments below, or just let us know which of the topics raised in this post you would like to see covered in more depth.